Whatever the environment, new data management and analysis technology may be important, but success and sustainability will also be driven by how we manage it and by how successful we are in putting data users and their priorities into the driver’s seat.

Government regulators need to be sensitive to the costs of complying with and overseeing the regulations they impose on data management, as do the organizations that are regulated. Costs related to data oversight, quality control, standardization, security, and privacy all need to be considered in comparison with the quantitative and qualitative benefits that will be generated.

Ultimately the most important issue has to come down to deciding what level of data literacy citizens need. As the production and consumption of goods and services become more data-dependent in both developed and developing countries, it is reasonable to ask how much understanding of data and data related decisions people really need. I’ve referred to this elsewhere as data management literacy. Maybe we also need to consider data consumption literacy. After all, if people don’t understand or appreciate the services we’re providing, no amount of standardization, interoperability, or transparency is going to make any difference.

In some ways managing “big data” tools and processes is no different than figuring out how to manage any other type of technological innovation. The technology is introduced, experts emerge and help control and shape evolving practical applications, and management eventually figures out what is worth keeping and what can be discarded.

There will always be a need to conduct formal evaluations of how well government programs perform. Such evaluations must take into account the complexity of programs and the need to distinguish among short term and long term impacts and the intervening conditions that also impact program effectiveness.

If you’re serious about data analysis there’s probably no substitute for getting “down and dirty” with real, live, messy data. Sometimes you just have to sift through the numbers with your “bare hands” if you really want to extract meaning from descriptive statistics, predictive models, and fancy visualizations.

Given availability of data on government programs from sources as diverse as Performance.gov, Data.gov, Sunlight Foundation, and the State of the USA project, where can we go for impartial reporting on the impacts sequestration will have on the US economy?

In Forrester’s Top 15 Emerging Technologies To Watch: Now to 2018, Brian Hopkins provides a peek at the results of an online survey conducted in 2012 to answer a question about what respondents feel the most “disruptive” technologies will be.

I think this is another case where to change behavior you need to change motivation and the only way to that in such a complex environment is through education and through support of viable alternatives.

There are many discussions going on about the OMB’s recently issued Social Media, Web-Based Interactive Technologies, and the Paperwork Reduction Act. Basically, this guidance makes it easier for Federal agencies to use variety of social media and “web 2.0” tools for interacting with the public without having to go through the expensive and time consuming clearance process required by the Paperwork Reduction Act.